AI Article Synopsis

  • Uveal melanoma is a harmful eye tumor that usually doesn’t show symptoms until it's found by doctors during eye check-ups.
  • Even with good treatments, about half of the patients can still get worse because the cancer spreads in their bodies, which shows we need better ways to predict and treat it.
  • Scientists created a new scoring system called MERGS that uses ten specific genes to help doctors understand how serious the cancer is and found that one gene, MGLL, is very important for the cancer spreading, which could help in developing new treatments for patients.

Article Abstract

Uveal melanoma is a malignant tumor originating from melanocytes in the eye's uvea, often detected during routine ophthalmic examinations due to its typically asymptomatic nature. Despite effective local treatments, up to 50% of patients develop hematogenous metastases, highlighting the need for better prognostic markers and therapeutic targets. In this study, we developed an innovative Metastasis-Related Gene Signature (MERGS) score to classify patients from various cohorts. By establishing this scoring method, we discovered underlying mechanisms responsible for significant differences between samples with high and low MERGS scores. We identified a set of ten genes to construct MERGS, which showed a high predictive accuracy for patient survival. Further, Monoglyceride Lipase (MGLL) emerged as the most important gene in distinguishing uveal melanoma metastasis. Functional studies demonstrated that knocking down MGLL significantly inhibited proliferation, invasion, and migration of uveal melanoma cells in vitro and in vivo, while overexpression of MGLL enhanced these malignant behaviors. Additionally, MGLL modulated free fatty acid (FFA) levels within these cells. Our findings reveal MGLL as a crucial player in uveal melanoma progression and propose it as a novel therapeutic target, potentially leading to improved management and outcomes for patients with this disease.

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Source
http://dx.doi.org/10.1007/s13577-024-01120-8DOI Listing

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